Abstract
Collaborative Virtual Environments (CVEs) are Virtual Reality (VR) systems and can simulate medical procedures such as surgeries performed by a group of remote users which can interact with one another through the simulation in real-time, with the aid of a network such as the Internet.Therefore, it is important to note that research on CVE-specific networking issues allows us to better understand the requirements for real-time applications. This paper discloses design and implementation issues of a peer-to-peer multicast architecture on the collaborative module of theCyberMed VR framework, aiming at providing better network scalability, as well as it shows as results, some developed applications as validation. Finally, we compared the performance of the newly implemented peer-to-peer multicast architecture with the peer-to-peer unicast previously existent with simulated models designed with OPNET Network Modeler and R statistical software. As result of our experiments, the null hypothesis was rejected (p = 2.2e-16, level of significance = 5%) confirming what we expected about the behavior of CyberMed’s multicast protocol.
Highlights
Collaborative Virtual Environments (CVEs) are Virtual Reality (VR) systems in which multiple users can interact with one another in real-time in order to perform a given task, in a collaborative manner [1], [2][3]
We have three main objectives: Firstly its presented some CVE applications developed with the aid of CyberMed in order to validate its new architecture and to prove how flexible the framework became in the perspective of developers
Second we analyze the performance of multicast and unicast protocols with a statistical non-parametric method (Students t) in order to compare the packet delay levels between two independent samples
Summary
Collaborative Virtual Environments (CVEs) are Virtual Reality (VR) systems in which multiple users can interact with one another in real-time in order to perform a given task, in a collaborative manner [1], [2][3]. In such systems, the users exploit deeper levels of realism while they perceive remote users actions, such as if they were sharing the same space on the real world [4]. This work presents the implementation issues of CyberMeds collaborative module It presents the results of a performance evaluation of a comparative study between unicast and multicast protocols for medical applications, improving the results some found in the literature, as well as some developed applications as initial results. Preliminary results of this research have been reported [12], [13], [14]
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